AASP-P14: Music Analysis I
Poster
Wed, 6 May, 16:30 - 18:30
Location: Poster Area 26
Session Type: Poster
Track: Audio and Acoustic Signal Processing [AA]
Click the to view the manuscript on IEEE Xplore Open Preview

AASP-P14.1: DO FOUNDATIONAL AUDIO ENCODERS UNDERSTAND MUSIC STRUCTURE?
Keisuke Toyama, Zhi Zhong, Akira Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Sony Group Corporation, Japan

AASP-P14.2: LEVERAGING DIFFUSION U-NET FEATURES FOR PREDOMINANT INSTRUMENT RECOGNITION
Charis Cochran, Drexel University, United States of America; Yeongheon Lee, University of Pennsylvania, United States of America; Youngmoo Kim, Drexel University, United States of America

AASP-P14.3: Subsequence SDTW: Differentiable Alignment with Flexible Boundary Conditions
Johannes Zeitler, Meinard Müller, International Audio Laboratories Erlangen, Germany

AASP-P14.4: BACHI: BOUNDARY-AWARE SYMBOLIC CHORD RECOGNITION THROUGH MASKED ITERATIVE DECODING ON POP AND CLASSICAL MUSIC
Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick, University of California San Diego, United States of America

AASP-P14.5: Controllable Embedding Transformation for Mood-Guided Music Retrieval
Julia Wilkins, New York University, United States of America; Jaehun Kim, Matthew E. P. Davies, SiriusXM-Pandora, United States of America; Juan Pablo Bello, New York University, United States of America; Matthew C. McCallum, SiriusXM-Pandora, United States of America

AASP-P14.6: MusicDETR: A Position-aware Spectral Note Detection Model for Singing Transcription
MengQiao Chen, QiKai He, ZhuoYuan Zhang, WenQing Cheng, Wei Xu, HuaZhong university of science and technology, China

AASP-P14.7: Sing What You Fit: A Perception-based Dataset and Benchmark for Vocal-Song Suitability Analysis
Yingzhou Zhao, Jingjie Zeng, Zewen Bai, Liang Yang, Shaowu Zhang, Hongfei Lin, Dalian University of Technology, China

AASP-P14.8: AN EVENT-BASED SEQUENCE MODELING APPROACH TO RECOGNIZING NON-TRIAD CHORDS WITH OVERSEGMENTATION MINIMIZATION
Leekyung Kim, Seoul National University and SK hynix, Korea, Republic of; Jonghun Park, Seoul National University, Korea, Republic of

AASP-P14.9: Beat and Downbeat Detection: A Reformulated Approach
James Bolt, Johan Pauwels, George Fazekas, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland

AASP-P14.10: CAN AUDIO REVEAL MUSIC PERFORMANCE DIFFICULTY? INSIGHTS FROM THE PIANO SYLLABUS DATASET
Pedro Ramoneda, MTG - Universitat Pompeu Fabra, Spain; Minhee Lee, Dasaem Jeong, Sogang University, Korea, Republic of; Jose Javier Valero-Mas, Universidad de Alicante, Spain; Xavier Serra, MTG - Universitat Pompeu Fabra, Spain